Estimation of appendicular skeletal muscle: Development and validation of anthropometric prediction equations in Chinese patients with knee osteoarthritis
Autor: | Jian-Feng Jin, Yiou Zhang, Chenxian Su, Peng Wu, Jun-Zhe Lang, Keke Jin, Li Chen, Lei Chen, Congcong Wu |
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Rok vydání: | 2018 |
Předmět: |
Male
China Sarcopenia Coefficient of determination Osteoarthritis Risk Assessment Cohort Studies 03 medical and health sciences Absorptiometry Photon Sex Factors 030502 gerontology Predictive Value of Tests Linear regression medicine Humans Model development Muscle Skeletal Geriatric Assessment Aged Retrospective Studies Community and Home Care Orthodontics Aged 80 and over Anthropometry business.industry Significant difference Age Factors Skeletal muscle General Medicine respiratory system Osteoarthritis Knee musculoskeletal system medicine.disease medicine.anatomical_structure Multivariate Analysis Body Composition Linear Models Female Geriatrics and Gerontology 0305 other medical science business |
Zdroj: | Australasian journal on ageingREFERENCES. 39(1) |
ISSN: | 1741-6612 |
Popis: | Objective To develop anthropometric prediction equations for estimating appendicular skeletal muscle (ASM) in Chinese knee osteoarthritis patients. Methods Subjects were divided into the model development group (MD group: 104 cases, 47 men and 57 women) and cross-validation group (CV group: 69 cases, 38 men and 31 women). Stepwise multiple linear regression analyses were undertaken in the MD group to identify the best equations. Agreement between the estimated ASM and ASM measured by dual-energy X-ray absorptiometry (DXA) was tested in the CV group. Results Two models were developed in the MD group. Validation in the CV group showed that our models (R2 = 0.83 and R2 = 0.90) had a high coefficient of determination. The mean bias of ASM estimated by the two models from the ASM measured by DXA in the CV group showed no significant difference (P > 0.05). Conclusion These models could be useful for older Chinese patients with knee osteoarthritis to estimate ASM. |
Databáze: | OpenAIRE |
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